نتایج جستجو برای: intelligent computation

تعداد نتایج: 217419  

1996
Erann Gat Avi Kak Steve Chien

Intelligence held its 1992 Fall Symposium Series on October 23–25 at the Royal Sonesta Hotel in Cambridge, Massachusetts. This article contains summaries of the five symposia that were conducted: Applications of AI to Real-World Autonomous Mobile Robots, Design from Physical Principles, Intelligent Scientific Computation, Issues in Description Logics: Users Meet Developers, and Probabilistic Ap...

1994
ALAN C. SCHULTZ JOHN J. GREFENSTETTE

This paper discusses the use of evolutionary computation to evolve behaviors that exhibit emergent intelligent behavior. Genetic algorithms are used to learn navigation and collision avoidance behaviors for robots. The learning is performed under simulation, and the resulting behaviors are then used to control the actual robot. Some of the emergent behavior is described in detail.

2016
Li Gao Jia Wu Hong Yang Zhi Qiao Chuan Zhou Yue Hu

Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China Quantum Computation & Intelligent Systems Centre, University of Technology Sydney, Australia MathWorks, Beijing, China Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China {gaoli, huyue}@iie.ac.cn, [email protected], hong.yang@ma...

2015
Nicole Dalia Cilia Noemi Scarpato Marco Romano

The Cyber Security is a crucial aspect of networks management. The Reachability Matrix computation is one of the main challenge in this field. This paper presents an intelligent solution in order to address the Reachability Matrix computational problem. Keywords— CyberSecurity;Ontologies; Reasoning.

2017
Raul-Cristian Roman Mircea-Bogdan Radac Radu-Emil Precup Emil M. Petriu

This paper proposes the combination of two data-driven techniques, namely virtual reference feedback tuning (VRFT) and model-Free Control (MFC) in terms of the VRFT of MFC algorithms dedicated to servo systems. VRFT ensures the automatic optimal computation of the parameters of three MFC algorithms represented by intelligent proportional (iP), intelligent proportional-integral (iPI), and intell...

2005
Carlos Hairon R. Gonçalves Carlos Eduardo A. Vieira Mauro Oliveira Rossana M. de Castro Andrade

One of the issues that constrains the use of GMPLS protocol in DWDM links is the slow rerouting provided by GMPLS over DWDM networks.The 1+1 protection mechanism is an approach to solve it, where a backup link is employed as mirror to provide an immediate fault recovery. However, such solution is costly since a given channel must exclusively be allocated. Intelligent agents can execute the task...

Journal: :Computer and Information Science 2014
Till D. Frank

In the literature, self-organizing physical and chemical systems have been proposed as candidates for physical intelligent systems that may solve problems in the field of artificial intelligent in a non-algorithmic way that is not based on computation. In this theoretical study, decision-making in such physical intelligent systems is discussed in terms of non-equilibrium transitions between two...

2003
Dayong Shen Hui Lin Jianhua Gong Yibin Zhao Zhaobao Fang Zhongyang Guo

Based on previous work, this paper designs an intelligent agent based Virtual Geographic Environment (VGE) system that is characteristic of huge data, rapid computation, multi-user, multi-thread and intelligence and raises challenges to traditional GIS models and algorithms. The new advances in software and hardware technology lay a reliable basis for system design, development and application.

2008
Lun Zhang Lan Chen Yan Lu Decun Dong

algorithms are worthy of considering and efficiently to be utilized in the network topological deployment and keeping the network integrity, (2) the Partial Swarm Optimization is much algorithmically easier and reliable, (3) Intelligent computation is a kind of optimal methodology to improve the network integrity.

1998
Rodney A. Brooks Cynthia Breazeal Robert Irie Charles C. Kemp Matthew Marjanovic Brian Scassellati Matthew M. Williamson

We present a novel methodology for building humanlike artificially intelligent systems. We take as a model the only existing systems which are universally accepted as intelligent: humans. We emphasize building intelligent systems which are not masters of a single domain, but, like humans, are adept at performing a variety of complex tasks in the real world. Using evidence from cognitive science...

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